1 Clustering Algorithm In this assignment you will implement a simplified version of k-means algorithm using Python to cluster a toy dataset comprising five data points into two clusters. It is not necessary that you should be aware of clustering algorithm to complete this task. The steps involved to build the clustering algorithm in this task is provided below. You are required to implement the described steps in Python to build the algorithm. You can complete this task by using functions and for loops in Python. More specifically, consider the following dataset comprising five data points (2-dimensional) {(0,0), (1.0), (1,1),(0,1),(-1,0)} The steps involved in developing the clustering algorithm are as follows: 1. Step 1: Choose the number of centroids (data points) required to create clusters. Since we need to create two clusters, we select two centroids. Specifically in this assignment, we will choose c = (1.0) and c = (1,1). We will call c and c as our two initial clusters with centroids (1.0) and (1,1)